moai-cc-memory

Name: moai-cc-memory
Availability: InStock
Author: ajbcoding

Manage session memory and persist context across Claude Code sessions.

4|1|Updated Nov 18, 2025

Search Tags:#context #memory #persistence #session-management #knowledge-retention

Ready to run

npx skills add https://github.com/AJBcoding/claude-skill-eval --skill moai-cc-memory-ajbcoding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: moai-cc-memory
Source: https://github.com/AJBcoding/claude-skill-eval/tree/main/skills/moai-cc-memory
Command: npx skills add https://github.com/AJBcoding/claude-skill-eval --skill moai-cc-memory-ajbcoding

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude Code memory management, context persistence, and knowledge retention.

Core Features & Use Cases

✅ Session memory management
✅ Context persistence strategies
✅ Knowledge retention optimization
✅ Memory cleanup processes
✅ Context budgeting

Quick Start

Use memory budgeting and seeding to persist important context between sessions.

Frequently Asked Questions about moai-cc-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I prevent context loss in long-running Claude Code sessions?▼

Context loss in extended sessions occurs when token budgets reset between interactions. Memory management strategies persist important context across session boundaries using memory budgeting, context segmentation, and file-based storage to retain knowledge and working state automatically.

What's the best way to manage session memory in Claude Code workflows?▼

Session memory management applies memory seeding to load prior context, context window budgeting to allocate token capacity efficiently, and cleanup automation to remove stale data. This approach maintains continuity across multi-step workflows and persistent storage systems.

How does context persistence work across token budget limits?▼

Context persistence stores working memory in file-based systems and retrieves it when token capacity resets. The Skill segments long-term memory separately from working memory, enabling knowledge retention and retrieval even when individual session windows exhaust their token allocations.

Can I automate memory cleanup in Claude Code to free up context space?▼

Memory cleanup automation removes redundant or expired context entries based on rules you define. This process integrates with context window budgeting to reclaim token capacity and ensures only relevant knowledge persists, optimizing context allocation across sessions.

What are the limitations of context persistence in multi-step workflows?▼

Context persistence depends on file system availability and retrieval latency. Knowledge retention scales with persistent storage capacity, and memory fragmentation can occur if cleanup isn't tuned properly, requiring periodic rebalancing of stored context segments.